code: def eval(self, valid_set):
      eval_rate = self.model.evaluate(
          valid_set["X"], valid_set["y"], batch_size=self.batch_size
      )
      return eval_rate
  
file_path: nlp-architect/nlp_architect/models/most_common_word_sense.py
imports: import tensorflow
label_desc: Use image node_id 6 for calling the MostCommonWordSense obj's underlying member method code with example usage: obj.eval(valid_set) and returns: eval_rate